Author, as appears in the article.: Fernandez-Cidon, Barbara; Candas-Estebanez, Beatriz; Ribalta, Josep; Rock, Edmond; Guardiola-Guionnet, Montserrat; Amigo, Nuria; Padro-Miquel, Ariadna; Alia-Ramos, Pedro; Pinto-Sala, Xavier;
Department: Medicina i Cirurgia
URV's Author/s: Guardiola Guionnet, Montserrat / Ribalta Vives, Josep
Keywords: Subclinical atherosclerosis Small dense ldl Risk Residual cardiovascular risk Prevention Prevalence Nuclear magnetic resonance lipid profile Lipoprotein precipitation Incident cardiovascular-disease Density-lipoprotein-cholesterol Coronary-heart-disease Carotid atherosclerosis Atherosclerosis Association Adults residual cardiovascular risk nuclear magnetic resonance lipid profile lipoprotein precipitation atherosclerosis
Abstract: Background LDL-C lowering is the main measure in cardiovascular disease prevention but a residual risk of ischemic events still remains. Alterations of lipoproteins, specially, increase in small dense LDL (sdLDL) particles are related to this risk.
Objective To investigate the potential use of sdLDL cholesterol concentration (sdLDL-C) isolated by an easy precipitation method and to assess the impact of a set of clinical and biochemical variables determined by NMR on sdLDL concentration.
Methods sdLDL-C and NMR lipid profile were performed in 85 men samples. Association among them was evaluated using Pearson coefficients (r(xy)). A multivariate regression was performed to identify the influence of NMR variables on sdLDL-C.
Results A strong association between sdLDL-C and LDLLDL-P (r(xy) = 0.687) and with LDL-Z (r(xy) = -0.603) was found. The multivariate regression explained a 56.8% in sdLDL-C variation (P = 8.77.10-12). BMI, ApoB, triglycerides, FFA, and LDL-Z showed a significant contribution. The most important ones were ApoB and LDL-Z; a 1nm increase (LDL-Z) leads to decrease 126 nmol/L in sdLDL-C.
Conclusion The association between sdLDL-C, LDL-Z, and LDL-P is clear. From a large number of variables, especially LDL-Z and apoB influence on sdLDL-C. Results show that the smaller the LDL size, the higher their cholesterol concentration. Therefore, sdLDL-C determination by using this easy method would be useful to risk stratification and to uncover cardiovascular residual risk.
Thematic Areas: Saúde coletiva Química Public health, environmental and occupational health Planejamento urbano e regional / demografia Microbiology (medical) Medicina veterinaria Medicina iii Medicina ii Medicina i Medical laboratory technology Materiais Interdisciplinar Immunology and allergy Hematology Farmacia Engenharias iv Enfermagem Clinical biochemistry Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciência da computação Biotecnología Biodiversidade Biochemistry (medical) Astronomia / física
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 08878013
Author's mail: josep.ribalta@urv.cat montse.guardiola@urv.cat
Author identifier: 0000-0002-8879-4719 0000-0002-9696-7384
Record's date: 2023-02-19
Papper version: info:eu-repo/semantics/publishedVersion
Papper original source: Journal Of Clinical Laboratory Analysis. 34 (e23282): e23282-
APA: Fernandez-Cidon, Barbara; Candas-Estebanez, Beatriz; Ribalta, Josep; Rock, Edmond; Guardiola-Guionnet, Montserrat; Amigo, Nuria; Padro-Miquel, Ariadna (2020). Precipitated sdLDL: An easy method to estimate LDL particle size. Journal Of Clinical Laboratory Analysis, 34(e23282), e23282-. DOI: 10.1002/jcla.23282
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Entity: Universitat Rovira i Virgili
Journal publication year: 2020
Publication Type: Journal Publications
Repositori URV